Python | Numpy MaskedArray .__ truediv__

Arrays | NumPy | Python Methods and Functions

numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. With Numpy MaskedArray .__ truediv__ we can split a specific value that is supplied as a parameter in the MaskedArray .__ truediv __ () method.

Syntax: numpy.MaskedArray .__ truediv__

Return: Divide other into self, and return a new masked array.

Example # 1:
In this example, we see that each element in the array is divisible by the value specified as a parameter in the MaskedArray method .__ truediv __ ().

# import important module in python

import numpy as np 

 
# make an array with NumPy

gfg = np.ma. array ([ 22 , 33.7 , 44.5 , 55 , 77 ]) 

  
# applying MaskedArray .__ truediv __ () method

print (gfg .__ truediv __ ( 11 )) 

Exit:

 [2.0 3.063636363636364 4.045454545454546 5.0 7.0]  

Example # 2:

# import an important module into python

import numpy as np 

 
# make an array with NumPy

gfg = np.ma.array ([[ 10 , 20 , 30 , 40 , 50 ], 

[ 11 , 22 , 33 , 44 , 55 ]]) 

  
# applying MaskedArray .__ truediv method __ ()

print (gfg .__ truediv __ ( 5 )) 

Output:

 [[2.0 4.0 6.0 8.0 10.0] [2.2 4.4 6.6 8.8 11.0]] 




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